Results 161 to 170 of about 1,557 (194)

ALGeoSPF: A Hierarchical Factorization Model for POI Recommendation

2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018
The task of points-of-interest (POI) recommendations has become an essential feature in location-based social networks (LBSNs) with the significant growth of shared data on LBSNs. However it remains a challenging problem, because the decision process of a user choosing to visit a POI depends on numerous factors.
Griesner, Jean-Benoît, Abdessalem, Talel, Naacke, Hubert, Dosne, Pierre   +3 more
openaire   +1 more source

Context-Aware Personalized POI Sequence Recommendation

2019
The Point Of Interest (POI) sequence recommendation applies to scenarios like itinerary and travel route planning which belongs to the class of NP-hard problem. What’s more, the external environment like the weather, time can affect the user’s check-in behavior such as people prefer to check-in in ice cream shop when the temperature is higher.
Jing Chen 0003, Wenjun Jiang
openaire   +1 more source

Online meta-learning for POI recommendation

GeoInformatica, 2022
Yao Lv, Yu Sang, Chong Tai, Wanjun Cheng, Jedi S. Shang, Jianfeng Qu, Xiaomin Chu, Ruoqian Zhang   +7 more
openaire   +1 more source

How to Improve the Recommendation’s Accuracy in POI Domains?

2020
Nowadays, Recommender Systems (RS) have been applied in most of Location-Based Social Networks (LBSNs). In general, these RSs aim to provide the best points-of-interest (POIs) to users, encouraging them to visit new places or explore more of their preferences. Despite the researches advances in this scenario, there is an opportunity for improvements in
Luiz Chaves, Nícollas Silva, Rodrigo Carvalho 0002, Adriano C. M. Pereira, Diego Roberto Colombo Dias, Leonardo Rocha 0001   +5 more
openaire   +1 more source

An ELM-Based Ensemble Strategy for POI Recommendation

2019
The prosperity of Location-Based Social Networks (LBSNs) facilitates a promising focus on personalized POI recommendation. The check-in activity is a multiple criteria decision making process. In this paper, we devise a novel personalized POI recommendation system called Multiple Criteria Ensemble Recommendation System (MCERS) to integrate the effect ...
Xue He, Tiancheng Zhang 0001, Hengyu Liu 0001, Ge Yu 0001   +3 more
openaire   +1 more source

Understanding the Impact of Weather for POI Recommendations [PDF]

ACM RecSys Workshop on Recommenders in Tourism, 2016
Trattner, Christoph, Oberegger, Alexander, Eberhard, Lukas, Parra, Denis, Marinho, Leandro   +4 more
openaire   +1 more source

CHA: Categorical Hierarchy-based Attention for Next POI Recommendation

ACM Transactions on Information Systems, 2022
Mingzhong Wang
exaly  

wPOI: Weather-Aware POI Recommendation Engine

Computación y Sistemas, 2022
Rajani Trivedi, Bibudhendu Pati, Chhabi Rani Panigrahi   +2 more
openaire   +2 more sources

Decentralized Point-Of-Interest (POI) Recommender Systems

The Next Point-Of-Interest (POI) recommendation has gained prominence with the rapid expansion of Location-Based Social Networks (LBSNs), due to its effectiveness in leveraging historical check-in data to predict users' next visiting POIs. While current centralized POI recommenders based on Recurrent Neural Networks (RNNs) and Graph Neural Networks ...
openaire   +2 more sources

A graph embedding based model for fine-grained POI recommendation

Neurocomputing, 2021
Jiajie Xu, An Liu, Weiqing Wang
exaly